The Analysis Of Spatial Heterogeneity Of The Tumor In Guangxi Based On GIS

Objective According to the spatial analysis technology of GIS, the complexity and variability of the spatial distribution of gynecological tumor diseases in Guangxi were analyzed. The causes of spatial distribution of GIS and the dynamic epidemic of disease in Guangxi were found.Methods The clinical data of Guangxi Department of gynaecology were collected and analyzed by means of geographic information system. The spatial distribution characteristics of the disease were analyzed, and the spatial distribution trends of the disease, spatial auto correlation, spatial data and spatial interpolation were described.Results (1)The variation function fitting: the Kuai Jin value CO is 0.136,the base station value C1+C0 is 0.102, the Kuai Jin base station is 1.385, the spatial heterogeneity degree is 89.8%, the Guangxi Department of gynaecology tumor incidence is about 300km, the goodness of fit R2 is 0.984, and the data show that the model fits well. (2) Krikin (Kriging) difference analysis: Guangxi Department of gynecological cancer incidence in the region of low fat area in Northwest Guangxi and Northern Guangxi region, the high incidence area in Fusui as the center of the southern coastal areas and the southwest guangxi.Several indexes of interpolation chart are estimated by the average number of deviation and the standard of estimation error. The two indexes are 0.0013469 and 0.0002096 respectively. There are two and 0.2865, respectively, and 1 and 0.2967 respectively. The data show that the interpolation model can be used to predict the spatial distribution of gynecological cancer. (3) spatial autocorrelation: Global Moran (Moran’s I) coefficients for 0.5879, global g coefficient was 0.87, P < 0.001, by a factor of two fully proved gynecological tumor disease incidence in the existence of higher numerical aggregation; the Z values for visualization, localized GI coefficient Z points test results, Z(GI) >1.98 area mainly concentrated in southwestern Guangxi, belonging to the gynecological tumor incidence of a disease is relatively concentrated area; Z (GI)<-1.98 display in North Guangxi area, the area is area of gynecological tumor disease incidence is relatively low. (4) spatial scan statistic analysis:LLR=979.661, P = 0.001, RR=4.979, the gynecological tumor incidence rate of aggregation in east longitude 107.8152, latitude 22.5677 of Fusui County, the radius is 78.35km, mainly covers: Fusui, Nanning, Wuming County, longan, new,Chongzuo, Pingguo, day and so on eight counties. (5) the spatial distribution of gynecological tumors: Guangxi 2012 - 2014, the spatial distribution of gynecological tumors in the region and the region of low incidence area, the spatial distribution of gynecological tumors in all regions of the changes in the year of the small part of the changes. From the analysis, we can see that some of the town’s gynecological tumors exist in the high incidence rate of aggregation,while some areas are showing a low state. The high incidence rate of gynecological tumor in some towns is related to some risk factors.Conclusions GIS as an important tool for analyzing geographic information data, it can study the spatial distribution and spatial relationship of regional variation. It can be used to evaluate the accuracy of the disease. This article mainly from the perspective of GIS research on the spatial heterogeneity of the Guangxi Department of gynaecology, through geographic analysis method,the Guangxi region to study the incidence of gynecological cancer, through spatial scanning, spatial interpolation, and other gynecological tumors in Nanning, Chongzuo, Fusui and other regions, and the low incidence of gynecological tumors are concentrated in Northwest guangxi. And this article also carries on the detailed analysis to the high incidence area, so as to know the incidence of gynecological tumor in each town, and provide more accurate clues for the government to formulate relevant control measures. In the same time, we have studied the spatial statistical methods of the heterogeneity of the tumor in the Department of Gynecology, and discussed the correlation index of the GIS of gynecological tumor.